the technical forensic process for identifying deepfakes is no longer just a niche interest for academic researchers; it is becoming a frontline requirement for anyone building identity verification and facial comparison systems. As reports of AI-generated imagery submitted to NCMEC skyrocketed from 4,700 in 2023 to 440,000 in the first half of 2025, the developer community is facing a "vertical wall" of synthetic media that manual review simply cannot scale to meet. For developers working with computer vision (CV) and biometrics, the technical implication is clear: we are moving away from "black-box" binary classifiers (is it real or fake?) and toward explainable facial comparison models. When humans only identify high-quality deepfakes 24.5% of the time, our APIs must do the heavy lifting by analyzing facial landmarks—the specific geometric coordinates of the eyes, nose, mouth, and jawline.…